Created by Yongming Rao*, Guangyi Chen*, Jiwen Lu, Jie Zhou
This repository contains PyTorch implementation for ICCV 2021 paper Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification [arXiv]
We propose to learn the attention with counterfactual causality, which provides a tool to measure the attention quality and a powerful supervisory signal to guide the learning process.
See CAL-FGVC.
See CAL-ReID.
MIT License
If you find our work useful in your research, please consider citing:
@inproceedings{rao2021counterfactual,
title={Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification},
author={Rao, Yongming and Chen, Guangyi and Lu, Jiwen and Zhou, Jie},
booktitle={ICCV},
year={2021}
}